Task 3074499
| Name | rand_automata_0025-1606117988-22454-89_0 |
| Workunit | 1402849 |
| Created | 26 Nov 2020, 19:53:55 UTC |
| Sent | 26 Nov 2020, 20:03:44 UTC |
| Report deadline | 3 Dec 2020, 20:03:44 UTC |
| Received | 26 Nov 2020, 20:13:58 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 50 sec |
| CPU time | 9 min 46 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.18 GB |
| Peak swap size | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 15:04:01 main:442] : INFO : Set logging level to 1 [2020-11-26 15:04:01 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:04:01 main:451] : INFO : Resolving all filenames [2020-11-26 15:04:01 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:04:01 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-89_0_r1566488675_1 (exists = 0) [2020-11-26 15:04:01 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-89_0_r1566488675_0 (exists = 0) [2020-11-26 15:04:01 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-89 (exists = 1) [2020-11-26 15:04:01 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:04:01 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 15:04:01 main:481] : INFO : Configuration: [2020-11-26 15:04:01 main:482] : INFO : Model type: LSTM [2020-11-26 15:04:01 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:04:01 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:04:01 main:485] : INFO : Batch Size: 32 [2020-11-26 15:04:01 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:04:01 main:487] : INFO : Patience: 10 [2020-11-26 15:04:01 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:04:01 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:04:01 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:04:01 main:491] : INFO : # Threads: 1 [2020-11-26 15:04:01 main:493] : INFO : Preparing Dataset [2020-11-26 15:04:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:04:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:04:03 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:04:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:04:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:04:04 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:04:04 main:501] : INFO : Creating Model [2020-11-26 15:04:04 main:514] : INFO : Preparing config file [2020-11-26 15:04:04 main:526] : INFO : Creating new config file [2020-11-26 15:04:04 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:04:04 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:04:04 main:569] : INFO : Starting Training [2020-11-26 15:04:09 main:581] : INFO : Epoch 1 | loss: 0.0471426 | val_loss: 0.0461144 | Time: 4984.57 ms [2020-11-26 15:04:12 main:581] : INFO : Epoch 2 | loss: 0.0462449 | val_loss: 0.0468312 | Time: 3147.82 ms [2020-11-26 15:04:15 main:581] : INFO : Epoch 3 | loss: 0.0458642 | val_loss: 0.0462596 | Time: 2981.34 ms [2020-11-26 15:04:18 main:581] : INFO : Epoch 4 | loss: 0.0453096 | val_loss: 0.0451563 | Time: 2995.63 ms [2020-11-26 15:04:21 main:581] : INFO : Epoch 5 | loss: 0.044424 | val_loss: 0.045363 | Time: 3025.94 ms [2020-11-26 15:04:24 main:581] : INFO : Epoch 6 | loss: 0.0447615 | val_loss: 0.045099 | Time: 3057.38 ms [2020-11-26 15:04:27 main:581] : INFO : Epoch 7 | loss: 0.0445053 | val_loss: 0.0449842 | Time: 2955.14 ms [2020-11-26 15:04:30 main:581] : INFO : Epoch 8 | loss: 0.0447556 | val_loss: 0.044512 | Time: 3013.72 ms [2020-11-26 15:04:33 main:581] : INFO : Epoch 9 | loss: 0.0445798 | val_loss: 0.0448624 | Time: 3029.62 ms [2020-11-26 15:04:36 main:581] : INFO : Epoch 10 | loss: 0.0442368 | val_loss: 0.044367 | Time: 2935.12 ms [2020-11-26 15:04:39 main:581] : INFO : Epoch 11 | loss: 0.0435468 | val_loss: 0.0437813 | Time: 2987.79 ms [2020-11-26 15:04:42 main:581] : INFO : Epoch 12 | loss: 0.0429746 | val_loss: 0.0431975 | Time: 2998.73 ms [2020-11-26 15:04:45 main:581] : INFO : Epoch 13 | loss: 0.0425167 | val_loss: 0.0433244 | Time: 3090.05 ms [2020-11-26 15:04:48 main:581] : INFO : Epoch 14 | loss: 0.0426813 | val_loss: 0.0433424 | Time: 3048.09 ms [2020-11-26 15:04:51 main:581] : INFO : Epoch 15 | loss: 0.0435844 | val_loss: 0.0438241 | Time: 2970.55 ms [2020-11-26 15:04:54 main:581] : INFO : Epoch 16 | loss: 0.0432806 | val_loss: 0.0435377 | Time: 3000.06 ms [2020-11-26 15:04:57 main:581] : INFO : Epoch 17 | loss: 0.0423466 | val_loss: 0.0425061 | Time: 3020.93 ms [2020-11-26 15:05:00 main:581] : INFO : Epoch 18 | loss: 0.0423435 | val_loss: 0.0423679 | Time: 3025.86 ms [2020-11-26 15:05:03 main:581] : INFO : Epoch 19 | loss: 0.041719 | val_loss: 0.0422332 | Time: 3041.88 ms [2020-11-26 15:05:06 main:581] : INFO : Epoch 20 | loss: 0.041627 | val_loss: 0.0421076 | Time: 3013.44 ms [2020-11-26 15:05:09 main:581] : INFO : Epoch 21 | loss: 0.0420335 | val_loss: 0.0426864 | Time: 2960.5 ms [2020-11-26 15:05:12 main:581] : INFO : Epoch 22 | loss: 0.0423626 | val_loss: 0.04408 | Time: 3078.08 ms [2020-11-26 15:05:15 main:581] : INFO : Epoch 23 | loss: 0.047301 | val_loss: 0.0476878 | Time: 3114.92 ms [2020-11-26 15:05:19 main:581] : INFO : Epoch 24 | loss: 0.0474323 | val_loss: 0.0475746 | Time: 3148.47 ms [2020-11-26 15:05:22 main:581] : INFO : Epoch 25 | loss: 0.0470036 | val_loss: 0.0473963 | Time: 3100.6 ms [2020-11-26 15:05:25 main:581] : INFO : Epoch 26 | loss: 0.0480504 | val_loss: 0.0486365 | Time: 3066.77 ms [2020-11-26 15:05:28 main:581] : INFO : Epoch 27 | loss: 0.0486311 | val_loss: 0.0484591 | Time: 3135.08 ms [2020-11-26 15:05:31 main:581] : INFO : Epoch 28 | loss: 0.0485336 | val_loss: 0.0484933 | Time: 2968.47 ms [2020-11-26 15:05:34 main:581] : INFO : Epoch 29 | loss: 0.0483546 | val_loss: 0.0491887 | Time: 2998.2 ms [2020-11-26 15:05:37 main:581] : INFO : Epoch 30 | loss: 0.049014 | val_loss: 0.0483539 | Time: 3031.59 ms [2020-11-26 15:05:40 main:581] : INFO : Epoch 31 | loss: 0.0482056 | val_loss: 0.0482625 | Time: 3186.98 ms [2020-11-26 15:05:43 main:581] : INFO : Epoch 32 | loss: 0.0478387 | val_loss: 0.0477924 | Time: 3025.01 ms [2020-11-26 15:05:46 main:581] : INFO : Epoch 33 | loss: 0.0478754 | val_loss: 0.0484572 | Time: 2996.97 ms [2020-11-26 15:05:49 main:581] : INFO : Epoch 34 | loss: 0.047935 | val_loss: 0.0481519 | Time: 2969.49 ms [2020-11-26 15:05:52 main:581] : INFO : Epoch 35 | loss: 0.0475043 | val_loss: 0.0475411 | Time: 2973.63 ms [2020-11-26 15:05:55 main:581] : INFO : Epoch 36 | loss: 0.0470625 | val_loss: 0.0472639 | Time: 2990.82 ms [2020-11-26 15:05:58 main:581] : INFO : Epoch 37 | loss: 0.0458483 | val_loss: 0.0461505 | Time: 3017.66 ms [2020-11-26 15:06:01 main:581] : INFO : Epoch 38 | loss: 0.0460549 | val_loss: 0.0467585 | Time: 3049.26 ms [2020-11-26 15:06:04 main:581] : INFO : Epoch 39 | loss: 0.0460029 | val_loss: 0.0458741 | Time: 2942.33 ms [2020-11-26 15:06:07 main:581] : INFO : Epoch 40 | loss: 0.0456004 | val_loss: 0.0460979 | Time: 3066.42 ms [2020-11-26 15:06:10 main:581] : INFO : Epoch 41 | loss: 0.045571 | val_loss: 0.0453534 | Time: 2990.34 ms [2020-11-26 15:06:13 main:581] : INFO : Epoch 42 | loss: 0.0449812 | val_loss: 0.0448938 | Time: 3006.71 ms [2020-11-26 15:06:16 main:581] : INFO : Epoch 43 | loss: 0.0445554 | val_loss: 0.0443742 | Time: 3174.38 ms [2020-11-26 15:06:20 main:581] : INFO : Epoch 44 | loss: 0.0438279 | val_loss: 0.0437946 | Time: 3197.77 ms [2020-11-26 15:06:23 main:581] : INFO : Epoch 45 | loss: 0.0435798 | val_loss: 0.0437463 | Time: 3093.44 ms [2020-11-26 15:06:26 main:581] : INFO : Epoch 46 | loss: 0.0432357 | val_loss: 0.0434572 | Time: 3035.95 ms [2020-11-26 15:06:29 main:581] : INFO : Epoch 47 | loss: 0.0430866 | val_loss: 0.0430533 | Time: 3026.3 ms [2020-11-26 15:06:32 main:581] : INFO : Epoch 48 | loss: 0.0455247 | val_loss: 0.0479834 | Time: 3061.84 ms [2020-11-26 15:06:35 main:581] : INFO : Epoch 49 | loss: 0.04777 | val_loss: 0.0472794 | Time: 3022.09 ms [2020-11-26 15:06:38 main:581] : INFO : Epoch 50 | loss: 0.0470389 | val_loss: 0.0467549 | Time: 3056.61 ms [2020-11-26 15:06:41 main:581] : INFO : Epoch 51 | loss: 0.0465008 | val_loss: 0.0467231 | Time: 3029.5 ms [2020-11-26 15:06:44 main:581] : INFO : Epoch 52 | loss: 0.0466122 | val_loss: 0.046623 | Time: 3006.63 ms [2020-11-26 15:06:47 main:581] : INFO : Epoch 53 | loss: 0.04717 | val_loss: 0.0473217 | Time: 3039.95 ms [2020-11-26 15:06:50 main:581] : INFO : Epoch 54 | loss: 0.0469139 | val_loss: 0.047156 | Time: 2984.28 ms [2020-11-26 15:06:53 main:581] : INFO : Epoch 55 | loss: 0.0467904 | val_loss: 0.0469659 | Time: 3055.92 ms [2020-11-26 15:06:56 main:581] : INFO : Epoch 56 | loss: 0.046499 | val_loss: 0.046523 | Time: 3181.16 ms [2020-11-26 15:06:59 main:581] : INFO : Epoch 57 | loss: 0.0462606 | val_loss: 0.0466209 | Time: 3032.72 ms [2020-11-26 15:07:02 main:581] : INFO : Epoch 58 | loss: 0.0459891 | val_loss: 0.0464421 | Time: 3007.05 ms [2020-11-26 15:07:05 main:581] : INFO : Epoch 59 | loss: 0.0457518 | val_loss: 0.0461146 | Time: 3041.22 ms [2020-11-26 15:07:08 main:581] : INFO : Epoch 60 | loss: 0.045606 | val_loss: 0.0464932 | Time: 3032.97 ms [2020-11-26 15:07:11 main:581] : INFO : Epoch 61 | loss: 0.0475869 | val_loss: 0.0479758 | Time: 3143.41 ms [2020-11-26 15:07:14 main:581] : INFO : Epoch 62 | loss: 0.0486281 | val_loss: 0.0487715 | Time: 3103.82 ms [2020-11-26 15:07:18 main:581] : INFO : Epoch 63 | loss: 0.048592 | val_loss: 0.0486273 | Time: 3126.44 ms [2020-11-26 15:07:21 main:581] : INFO : Epoch 64 | loss: 0.0486588 | val_loss: 0.0488357 | Time: 3032.18 ms [2020-11-26 15:07:24 main:581] : INFO : Epoch 65 | loss: 0.0484604 | val_loss: 0.0484348 | Time: 2978.69 ms [2020-11-26 15:07:27 main:581] : INFO : Epoch 66 | loss: 0.0482285 | val_loss: 0.0481706 | Time: 2972.73 ms [2020-11-26 15:07:30 main:581] : INFO : Epoch 67 | loss: 0.0481875 | val_loss: 0.0496128 | Time: 3078.23 ms [2020-11-26 15:07:33 main:581] : INFO : Epoch 68 | loss: 0.0494803 | val_loss: 0.0492412 | Time: 3154.86 ms [2020-11-26 15:07:36 main:581] : INFO : Epoch 69 | loss: 0.049106 | val_loss: 0.0488939 | Time: 3121.04 ms [2020-11-26 15:07:39 main:581] : INFO : Epoch 70 | loss: 0.0488005 | val_loss: 0.0485713 | Time: 3102.31 ms [2020-11-26 15:07:42 main:581] : INFO : Epoch 71 | loss: 0.0491075 | val_loss: 0.0492542 | Time: 2989.78 ms [2020-11-26 15:07:45 main:581] : INFO : Epoch 72 | loss: 0.0491964 | val_loss: 0.0489261 | Time: 2982.19 ms [2020-11-26 15:07:48 main:581] : INFO : Epoch 73 | loss: 0.0488657 | val_loss: 0.0487049 | Time: 3060.33 ms [2020-11-26 15:07:51 main:581] : INFO : Epoch 74 | loss: 0.0483288 | val_loss: 0.0482093 | Time: 3051.09 ms [2020-11-26 15:07:54 main:581] : INFO : Epoch 75 | loss: 0.0478817 | val_loss: 0.0477304 | Time: 3187.9 ms [2020-11-26 15:07:57 main:581] : INFO : Epoch 76 | loss: 0.0475279 | val_loss: 0.0474146 | Time: 2981.87 ms [2020-11-26 15:08:00 main:581] : INFO : Epoch 77 | loss: 0.0471519 | val_loss: 0.0469887 | Time: 2938.33 ms [2020-11-26 15:08:03 main:581] : INFO : Epoch 78 | loss: 0.0468938 | val_loss: 0.0468867 | Time: 3023.97 ms [2020-11-26 15:08:06 main:581] : INFO : Epoch 79 | loss: 0.0468926 | val_loss: 0.0473155 | Time: 3006.89 ms [2020-11-26 15:08:09 main:581] : INFO : Epoch 80 | loss: 0.0471099 | val_loss: 0.046953 | Time: 3000.57 ms [2020-11-26 15:08:12 main:581] : INFO : Epoch 81 | loss: 0.0467678 | val_loss: 0.0468378 | Time: 3017.51 ms [2020-11-26 15:08:15 main:581] : INFO : Epoch 82 | loss: 0.0464908 | val_loss: 0.0464913 | Time: 2962.54 ms [2020-11-26 15:08:18 main:581] : INFO : Epoch 83 | loss: 0.049626 | val_loss: 0.0501013 | Time: 3018.61 ms [2020-11-26 15:08:21 main:581] : INFO : Epoch 84 | loss: 0.049853 | val_loss: 0.0498568 | Time: 2957.43 ms [2020-11-26 15:08:24 main:581] : INFO : Epoch 85 | loss: 0.0495902 | val_loss: 0.0497134 | Time: 3070.08 ms [2020-11-26 15:08:27 main:581] : INFO : Epoch 86 | loss: 0.0493522 | val_loss: 0.0492969 | Time: 3067.11 ms [2020-11-26 15:08:30 main:581] : INFO : Epoch 87 | loss: 0.0490604 | val_loss: 0.0491238 | Time: 3095.62 ms [2020-11-26 15:08:33 main:581] : INFO : Epoch 88 | loss: 0.0497493 | val_loss: 0.0503425 | Time: 2956.1 ms [2020-11-26 15:08:36 main:581] : INFO : Epoch 89 | loss: 0.0501201 | val_loss: 0.0500381 | Time: 2948.7 ms [2020-11-26 15:08:39 main:581] : INFO : Epoch 90 | loss: 0.0496944 | val_loss: 0.0498895 | Time: 2961.19 ms [2020-11-26 15:08:42 main:581] : INFO : Epoch 91 | loss: 0.0496562 | val_loss: 0.0497891 | Time: 3039.03 ms [2020-11-26 15:08:45 main:581] : INFO : Epoch 92 | loss: 0.0495096 | val_loss: 0.0496596 | Time: 2998.17 ms [2020-11-26 15:08:48 main:581] : INFO : Epoch 93 | loss: 0.0493216 | val_loss: 0.0495085 | Time: 3014.41 ms [2020-11-26 15:08:52 main:581] : INFO : Epoch 94 | loss: 0.049112 | val_loss: 0.0493892 | Time: 3139.32 ms [2020-11-26 15:08:55 main:581] : INFO : Epoch 95 | loss: 0.0488935 | val_loss: 0.0490905 | Time: 3086.24 ms [2020-11-26 15:08:58 main:581] : INFO : Epoch 96 | loss: 0.048625 | val_loss: 0.0488073 | Time: 2976.45 ms [2020-11-26 15:09:01 main:581] : INFO : Epoch 97 | loss: 0.0485232 | val_loss: 0.0489042 | Time: 3059.91 ms [2020-11-26 15:09:04 main:581] : INFO : Epoch 98 | loss: 0.048248 | val_loss: 0.0485893 | Time: 3000.73 ms [2020-11-26 15:09:07 main:581] : INFO : Epoch 99 | loss: 0.0479735 | val_loss: 0.048314 | Time: 3004.03 ms [2020-11-26 15:09:10 main:581] : INFO : Epoch 100 | loss: 0.0478853 | val_loss: 0.0481641 | Time: 3003.7 ms [2020-11-26 15:09:13 main:581] : INFO : Epoch 101 | loss: 0.047953 | val_loss: 0.0485436 | Time: 3016.25 ms [2020-11-26 15:09:16 main:581] : INFO : Epoch 102 | loss: 0.0481756 | val_loss: 0.0484467 | Time: 2963.69 ms [2020-11-26 15:09:19 main:581] : INFO : Epoch 103 | loss: 0.0480537 | val_loss: 0.0481905 | Time: 3049.68 ms [2020-11-26 15:09:22 main:581] : INFO : Epoch 104 | loss: 0.0477639 | val_loss: 0.0481129 | Time: 2987.14 ms [2020-11-26 15:09:25 main:581] : INFO : Epoch 105 | loss: 0.0475629 | val_loss: 0.0481262 | Time: 3060.68 ms [2020-11-26 15:09:28 main:581] : INFO : Epoch 106 | loss: 0.0479374 | val_loss: 0.0480742 | Time: 2964.39 ms [2020-11-26 15:09:31 main:581] : INFO : Epoch 107 | loss: 0.0482749 | val_loss: 0.0485973 | Time: 2956.49 ms [2020-11-26 15:09:34 main:581] : INFO : Epoch 108 | loss: 0.0493684 | val_loss: 0.0512445 | Time: 2978.08 ms [2020-11-26 15:09:37 main:581] : INFO : Epoch 109 | loss: 0.0515232 | val_loss: 0.0516389 | Time: 2989.1 ms [2020-11-26 15:09:40 main:581] : INFO : Epoch 110 | loss: 0.0510834 | val_loss: 0.051134 | Time: 3008.16 ms [2020-11-26 15:09:43 main:581] : INFO : Epoch 111 | loss: 0.0507982 | val_loss: 0.0510906 | Time: 3165.88 ms [2020-11-26 15:09:46 main:581] : INFO : Epoch 112 | loss: 0.0503399 | val_loss: 0.0504671 | Time: 3068.28 ms [2020-11-26 15:09:49 main:581] : INFO : Epoch 113 | loss: 0.0503752 | val_loss: 0.0513491 | Time: 3043.83 ms [2020-11-26 15:09:52 main:581] : INFO : Epoch 114 | loss: 0.0513332 | val_loss: 0.0514361 | Time: 3157.1 ms [2020-11-26 15:09:55 main:581] : INFO : Epoch 115 | loss: 0.0513669 | val_loss: 0.0519543 | Time: 3008.83 ms [2020-11-26 15:09:58 main:581] : INFO : Epoch 116 | loss: 0.0519144 | val_loss: 0.0525141 | Time: 3226.56 ms [2020-11-26 15:10:01 main:581] : INFO : Epoch 117 | loss: 0.0525078 | val_loss: 0.0526253 | Time: 3058.99 ms [2020-11-26 15:10:04 main:581] : INFO : Epoch 118 | loss: 0.0525553 | val_loss: 0.0526704 | Time: 3019.39 ms [2020-11-26 15:10:07 main:581] : INFO : Epoch 119 | loss: 0.0526437 | val_loss: 0.0527516 | Time: 3002.35 ms [2020-11-26 15:10:11 main:581] : INFO : Epoch 120 | loss: 0.0524746 | val_loss: 0.0525112 | Time: 3109.9 ms [2020-11-26 15:10:14 main:581] : INFO : Epoch 121 | loss: 0.0523103 | val_loss: 0.0525605 | Time: 3149.18 ms [2020-11-26 15:10:17 main:581] : INFO : Epoch 122 | loss: 0.052495 | val_loss: 0.0527859 | Time: 3043.49 ms [2020-11-26 15:10:20 main:581] : INFO : Epoch 123 | loss: 0.0525396 | val_loss: 0.0526061 | Time: 2925.03 ms [2020-11-26 15:10:23 main:581] : INFO : Epoch 124 | loss: 0.0522651 | val_loss: 0.0524757 | Time: 2967.74 ms [2020-11-26 15:10:26 main:581] : INFO : Epoch 125 | loss: 0.052282 | val_loss: 0.0524034 | Time: 3088.98 ms [2020-11-26 15:10:29 main:581] : INFO : Epoch 126 | loss: 0.0522397 | val_loss: 0.0522099 | Time: 2999.69 ms [2020-11-26 15:10:32 main:581] : INFO : Epoch 127 | loss: 0.0522448 | val_loss: 0.0526946 | Time: 3003 ms [2020-11-26 15:10:35 main:581] : INFO : Epoch 128 | loss: 0.0536624 | val_loss: 0.053833 | Time: 3145.44 ms [2020-11-26 15:10:38 main:581] : INFO : Epoch 129 | loss: 0.0535716 | val_loss: 0.0535872 | Time: 3066.26 ms [2020-11-26 15:10:41 main:581] : INFO : Epoch 130 | loss: 0.0533657 | val_loss: 0.0534059 | Time: 2957.91 ms [2020-11-26 15:10:44 main:581] : INFO : Epoch 131 | loss: 0.0535744 | val_loss: 0.0535956 | Time: 3036.66 ms [2020-11-26 15:10:47 main:581] : INFO : Epoch 132 | loss: 0.0534146 | val_loss: 0.0533356 | Time: 2963.19 ms [2020-11-26 15:10:50 main:581] : INFO : Epoch 133 | loss: 0.0531681 | val_loss: 0.0532108 | Time: 2952.29 ms [2020-11-26 15:10:53 main:581] : INFO : Epoch 134 | loss: 0.0529759 | val_loss: 0.0532297 | Time: 3027.51 ms [2020-11-26 15:10:56 main:581] : INFO : Epoch 135 | loss: 0.0530519 | val_loss: 0.0531222 | Time: 3052.82 ms [2020-11-26 15:10:59 main:581] : INFO : Epoch 136 | loss: 0.0529128 | val_loss: 0.0529559 | Time: 2943 ms [2020-11-26 15:11:02 main:581] : INFO : Epoch 137 | loss: 0.0540874 | val_loss: 0.0543948 | Time: 2980.89 ms [2020-11-26 15:11:05 main:581] : INFO : Epoch 138 | loss: 0.054297 | val_loss: 0.0544153 | Time: 3027.05 ms [2020-11-26 15:11:08 main:581] : INFO : Epoch 139 | loss: 0.0546212 | val_loss: 0.0551244 | Time: 2974.77 ms [2020-11-26 15:11:11 main:581] : INFO : Epoch 140 | loss: 0.0550668 | val_loss: 0.0550024 | Time: 2949.46 ms [2020-11-26 15:11:14 main:581] : INFO : Epoch 141 | loss: 0.0549298 | val_loss: 0.0550888 | Time: 3208.19 ms [2020-11-26 15:11:17 main:581] : INFO : Epoch 142 | loss: 0.0549385 | val_loss: 0.0550659 | Time: 3058.01 ms [2020-11-26 15:11:20 main:581] : INFO : Epoch 143 | loss: 0.0552669 | val_loss: 0.0552763 | Time: 3011.94 ms [2020-11-26 15:11:23 main:581] : INFO : Epoch 144 | loss: 0.0551018 | val_loss: 0.0550284 | Time: 2952.49 ms [2020-11-26 15:11:26 main:581] : INFO : Epoch 145 | loss: 0.05485 | val_loss: 0.0549387 | Time: 2927.5 ms [2020-11-26 15:11:29 main:581] : INFO : Epoch 146 | loss: 0.0548382 | val_loss: 0.054987 | Time: 2942.63 ms [2020-11-26 15:11:32 main:581] : INFO : Epoch 147 | loss: 0.0548082 | val_loss: 0.0550163 | Time: 2958.46 ms [2020-11-26 15:11:35 main:581] : INFO : Epoch 148 | loss: 0.0548699 | val_loss: 0.0549045 | Time: 2983.77 ms [2020-11-26 15:11:38 main:581] : INFO : Epoch 149 | loss: 0.0547514 | val_loss: 0.0548566 | Time: 2957.25 ms [2020-11-26 15:11:41 main:581] : INFO : Epoch 150 | loss: 0.0547304 | val_loss: 0.0547953 | Time: 3039.45 ms [2020-11-26 15:11:44 main:581] : INFO : Epoch 151 | loss: 0.0546243 | val_loss: 0.0547797 | Time: 3024.16 ms [2020-11-26 15:11:47 main:581] : INFO : Epoch 152 | loss: 0.0546731 | val_loss: 0.0548265 | Time: 3005.31 ms [2020-11-26 15:11:50 main:581] : INFO : Epoch 153 | loss: 0.0546121 | val_loss: 0.0546687 | Time: 3068.95 ms [2020-11-26 15:11:53 main:581] : INFO : Epoch 154 | loss: 0.0543775 | val_loss: 0.054591 | Time: 3054.42 ms [2020-11-26 15:11:56 main:581] : INFO : Epoch 155 | loss: 0.0546906 | val_loss: 0.0548887 | Time: 2991.31 ms [2020-11-26 15:11:59 main:581] : INFO : Epoch 156 | loss: 0.0547526 | val_loss: 0.0551241 | Time: 2986.77 ms [2020-11-26 15:12:02 main:581] : INFO : Epoch 157 | loss: 0.0549822 | val_loss: 0.0549983 | Time: 3029.67 ms [2020-11-26 15:12:05 main:581] : INFO : Epoch 158 | loss: 0.0548504 | val_loss: 0.0549102 | Time: 3181.28 ms [2020-11-26 15:12:08 main:581] : INFO : Epoch 159 | loss: 0.0547501 | val_loss: 0.0549023 | Time: 3077.08 ms [2020-11-26 15:12:11 main:581] : INFO : Epoch 160 | loss: 0.0550321 | val_loss: 0.0553598 | Time: 2982.94 ms [2020-11-26 15:12:14 main:581] : INFO : Epoch 161 | loss: 0.0551791 | val_loss: 0.0553238 | Time: 3281.53 ms [2020-11-26 15:12:17 main:581] : INFO : Epoch 162 | loss: 0.055425 | val_loss: 0.0556564 | Time: 2992.19 ms [2020-11-26 15:12:21 main:581] : INFO : Epoch 163 | loss: 0.0554105 | val_loss: 0.0555192 | Time: 3036.58 ms [2020-11-26 15:12:23 main:581] : INFO : Epoch 164 | loss: 0.0552603 | val_loss: 0.0553733 | Time: 2960.32 ms [2020-11-26 15:12:27 main:581] : INFO : Epoch 165 | loss: 0.0556537 | val_loss: 0.0557324 | Time: 3038.1 ms [2020-11-26 15:12:30 main:581] : INFO : Epoch 166 | loss: 0.0555268 | val_loss: 0.0556445 | Time: 2996.13 ms [2020-11-26 15:12:33 main:581] : INFO : Epoch 167 | loss: 0.0553927 | val_loss: 0.0556345 | Time: 3056.37 ms [2020-11-26 15:12:36 main:581] : INFO : Epoch 168 | loss: 0.0556175 | val_loss: 0.0556309 | Time: 3104.2 ms [2020-11-26 15:12:39 main:581] : INFO : Epoch 169 | loss: 0.055487 | val_loss: 0.0555445 | Time: 3056.72 ms [2020-11-26 15:12:42 main:581] : INFO : Epoch 170 | loss: 0.0553993 | val_loss: 0.0554377 | Time: 2971.63 ms [2020-11-26 15:12:45 main:581] : INFO : Epoch 171 | loss: 0.0552913 | val_loss: 0.05536 | Time: 2963.95 ms [2020-11-26 15:12:48 main:581] : INFO : Epoch 172 | loss: 0.0551488 | val_loss: 0.055213 | Time: 3056.59 ms [2020-11-26 15:12:51 main:581] : INFO : Epoch 173 | loss: 0.054947 | val_loss: 0.0549722 | Time: 3030.58 ms [2020-11-26 15:12:54 main:581] : INFO : Epoch 174 | loss: 0.0547124 | val_loss: 0.0546049 | Time: 3112.97 ms [2020-11-26 15:12:57 main:581] : INFO : Epoch 175 | loss: 0.0543864 | val_loss: 0.0544648 | Time: 2986.26 ms [2020-11-26 15:13:00 main:581] : INFO : Epoch 176 | loss: 0.0542261 | val_loss: 0.0542588 | Time: 3102.04 ms [2020-11-26 15:13:03 main:581] : INFO : Epoch 177 | loss: 0.0539861 | val_loss: 0.0540333 | Time: 3023.63 ms [2020-11-26 15:13:06 main:581] : INFO : Epoch 178 | loss: 0.053772 | val_loss: 0.0538341 | Time: 2971.13 ms [2020-11-26 15:13:09 main:581] : INFO : Epoch 179 | loss: 0.0535723 | val_loss: 0.0535672 | Time: 2956.84 ms [2020-11-26 15:13:12 main:581] : INFO : Epoch 180 | loss: 0.0533352 | val_loss: 0.0532941 | Time: 2962.12 ms [2020-11-26 15:13:15 main:581] : INFO : Epoch 181 | loss: 0.0531108 | val_loss: 0.0533764 | Time: 3050.09 ms [2020-11-26 15:13:18 main:581] : INFO : Epoch 182 | loss: 0.0532235 | val_loss: 0.0533614 | Time: 3027.29 ms [2020-11-26 15:13:21 main:581] : INFO : Epoch 183 | loss: 0.0531208 | val_loss: 0.0531968 | Time: 3092.16 ms [2020-11-26 15:13:24 main:581] : INFO : Epoch 184 | loss: 0.0528347 | val_loss: 0.0528863 | Time: 3187.6 ms [2020-11-26 15:13:27 main:581] : INFO : Epoch 185 | loss: 0.0525432 | val_loss: 0.0526677 | Time: 3105.6 ms [2020-11-26 15:13:30 main:581] : INFO : Epoch 186 | loss: 0.0522261 | val_loss: 0.0524053 | Time: 3041.89 ms [2020-11-26 15:13:33 main:581] : INFO : Epoch 187 | loss: 0.0532624 | val_loss: 0.0550487 | Time: 3069.19 ms [2020-11-26 15:13:36 main:581] : INFO : Epoch 188 | loss: 0.0551587 | val_loss: 0.0553115 | Time: 2997.56 ms [2020-11-26 15:13:39 main:581] : INFO : Epoch 189 | loss: 0.0552134 | val_loss: 0.0557424 | Time: 3021.52 ms [2020-11-26 15:13:43 main:581] : INFO : Epoch 190 | loss: 0.0556388 | val_loss: 0.05587 | Time: 3034.7 ms [2020-11-26 15:13:46 main:581] : INFO : Epoch 191 | loss: 0.056022 | val_loss: 0.0565552 | Time: 3089.37 ms [2020-11-26 15:13:49 main:581] : INFO : Epoch 192 | loss: 0.0563918 | val_loss: 0.0566759 | Time: 3170.46 ms [2020-11-26 15:13:49 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0566759 [2020-11-26 15:13:49 main:610] : INFO : Saving end state to config to file [2020-11-26 15:13:49 main:615] : INFO : Success, exiting.. 15:13:49 (15173): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)